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<p>-------- Forwarded Message --------</p>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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<td>[DMANET] Lecturer / Postdoc in Artificial Intelligence
(100% or part-time)</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Sun, 7 Nov 2021 15:31:22 +0000</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Sven Seuken <a class="moz-txt-link-rfc2396E" href="mailto:seuken@ifi.uzh.ch"><seuken@ifi.uzh.ch></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Reply-To:
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<td>Sven Seuken <a class="moz-txt-link-rfc2396E" href="mailto:seuken@ifi.uzh.ch"><seuken@ifi.uzh.ch></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:dmanet@zpr.uni-koeln.de">dmanet@zpr.uni-koeln.de</a></td>
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<br>
<br>
We are searching for:<br>
<br>
**Lecturer / Postdoc in Artificial Intelligence (100% or
part-time)**<br>
(Duration: 2 years, with the possibility of extension)<br>
<br>
**About us:**<br>
The Computation and Economics Research Group, led by Prof. Sven
Seuken, currently consists of one professor, one Postdoc, and six
PhD students. All group members have a strong background in
mathematics/computer science and work on AI, machine learning, and
market design research questions. Market design is a research
field that combines techniques from computer science, game theory,
operations research, and other fields to analyze and design
real-world marketplaces. In our research group, we study
foundational market design questions from an
algorithmic/computational and game-theoretic perspective. Current
group members work on a variety of projects, including active
learning in combinatorial assignment problems, techniques for
capturing model uncertainty in neural networks, algorithms for
finding equilibria in auctions, and machine learning-powered
preference elicitation in combinatorial auctions, course
allocation, drone traffic management, and adoption marketplaces.
We publish our research exclusively in top international
conferences (e.g., AAAI, IJCAI, EC) and journals (e.g., JAIR, JET,
Management Science). In some projects, we also collaborate with
industrial partners such as Google Research and Microsoft
Research.<br>
<br>
**We offer:**<br>
- a team of young and highly motivated colleagues who are
passionate about topics at the intersection of AI, machine
learning, and game theory (in particular: market design)<br>
- a competitive salary of approximately 90,000 Euro per year and
generous social benefits<br>
- generous support for professional travel and research needs<br>
- strong support for your career development<br>
- life in a cosmopolitan city that regularly ranks as one of the
cities with the highest quality of life in the world.<br>
<br>
**About the position:**<br>
We accept applications from all candidates with a PhD who have a
strong background in Artificial Intelligence. The successful
candidate will become a Postdoc/Lecturer at the Department of
Informatics of the University of Zurich (Switzerland's largest
university) and will also be affiliated with the ETH AI Center
(one of the world’s top places for research on AI and machine
learning). The UZH Department of Informatics and the ETH AI Center
are in 3 min walking distance from each other. The candidate is
free to conduct research on any topic, including the continuation
of existing research projects. The candidate is invited (but not
required) to join the ERC research project on “Machine
Learning-based Market Design” led by Prof. Sven Seuken. In terms
of teaching, the candidate is required to prepare and teach a new
course called “Introduction to Artificial Intelligence” (6 ECTS
credits), once per year. This course will be offered on the
Bachelor’s level at UZH; the course will start on February 21,
2022. Therefore, experience in teaching such a course (e.g., as a
teaching assistant) is a required. The exact topics to be covered
in the course are still flexible.<br>
<br>
**You have:**<br>
- a PhD degree in computer science or a related field with a focus
on Artificial Intelligence<br>
- a very good publication record in your field<br>
- a passion for research in AI (interest or experience in game
theory is a plus, but not required)<br>
- experience teaching a course on AI or machine learning (e.g., as
a teaching assistant)<br>
- excellent communication skills in English (German speaking
skills are not necessary)<br>
<br>
If you fit this profile and are passionate about research and
teaching, then we would love to hear from you. Women are
particularly encouraged to apply. To apply, please send an email
with your CV and any other relevant material to: <a class="moz-txt-link-abbreviated" href="mailto:seuken@ifi.uzh.ch">seuken@ifi.uzh.ch</a><br>
<br>
All applications received by December 6, 2021 will be considered.
Applications received afterwards will be considered until the
position is filled. If you do not hear back from us by December
13, then you have not advanced to the interview round. The final
hiring decision is expected to be made until the end of December
2021. The position is immediately available. The latest possible
starting date is February 14, 2021. Further information about the
research group is available online at:
<a class="moz-txt-link-freetext" href="http://www.ifi.uzh.ch/ce">http://www.ifi.uzh.ch/ce</a>><br>
--<br>
Prof. Dr. Sven Seuken<br>
Head of Computation and Economics Research Group<br>
University of Zurich<br>
Web: <a class="moz-txt-link-freetext" href="https://www.ifi.uzh.ch/en/ce/people/seuken.html">https://www.ifi.uzh.ch/en/ce/people/seuken.html</a>><br>
Associated Faculty at the ETH AI Center
<a class="moz-txt-link-rfc2396E" href="https://ai.ethz.ch/"><https://ai.ethz.ch/></a>Co-Director of the Zurich Center for
Market Design <a class="moz-txt-link-rfc2396E" href="https://www.marketdesign.uzh.ch/en.html"><https://www.marketdesign.uzh.ch/en.html></a><br>
<br>
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